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HBO/WO

MBO

May 13, 2026

Modules Teaching inclusive and critical searching

This publications presents two modules, one for lecturers and one for students, on inclusive teaching and critical searching. The modules highlight how search engines and databases are far from neutral. They provide handles to critically engage with the information found on these platforms and how to pass this information on to your students. The modules can be used as an extension to information literacy courses or guides. Besides general information, the modules contain VU specific information. This information can be adjusted to other contexts.

Website

Michèle Meijer, Linde Voorend

April 8, 2026

ACA-bot

ACA-bot is an engaging chatbot designed for Automated Conversational Assessment (ACA). Drawing inspiration from traditional oral exams, this text-based conversational agent transforms assessment into a dynamic learning experience. It supports both formative and summative evaluation by offering students personalised feedback and guidance at every step of their learning journey. The first ACA-bot prototype focuses on assessing students’ understanding of basic statistical concepts, but its flexible design allows for easy adaptation to a wide range of subjects and learning contexts. Through interactive dialogue, students can practise explaining ideas clearly under exam-like conditions, apply their knowledge to new and challenging questions, and refine their reasoning as they respond to follow-up prompts. They gain valuable insights into their own understanding, identify areas for improvement, and gradually build confidence for both oral and written assessments. For educators, ACA-bot offers a powerful way to scale oral examinations and enhance formative assessment without increasing workload. It automates parts of the assessment process, provides structured and actionable insights into student performance, and opens the door to more personal, interactive feedback at scale. By combining the strengths of conversational AI and educational assessment, ACA-bot turns evaluation into a collaborative, insightful process. It empowers students to think aloud, reason more effectively, and grow, while giving educators a smarter, more innovative way to understand and support learning. ACA-bot is een slimme en inspirerende chatbot die onderwijs en Artificial Intelligence samenbrengt. Geïnspireerd door het klassieke mondelinge examen tilt deze tekstgebaseerde gespreksagent Automated Conversational Assessment naar een nieuw niveau. Studenten krijgen via natuurlijke gesprekken directe, persoonlijke feedback en begeleiding, waardoor leren en toetsen samenvloeien in één boeiende ervaring. Het prototype van ACA-bot is ontwikkeld om kennis over statistiek te beoordelen, maar dankzij het flexibele ontwerp kan het systeem eenvoudig worden aangepast aan andere vakgebieden en toepassingen. Tijdens interactieve dialogen leren studenten helder uitleg geven, hun kennis toepassen op nieuwe vragen en hun redenering aanscherpen. Ze ontdekken waar hun begrip nog verdiept kan worden en groeien zichtbaar in zelfvertrouwen — waardevolle voorbereiding op zowel mondelinge als schriftelijke examens. Ook voor docenten biedt ACA-bot een slimme oplossing. Het maakt mondelinge toetsing schaalbaar, ondersteunt formatieve beoordeling via gesprek, en vermindert de werkdruk door delen van het beoordelingsproces te automatiseren. Bovendien geeft het gestructureerde inzichten in de voortgang en denkwijze van studenten, waardoor elke dialoog bijdraagt aan beter onderwijs. ACA-bot laat zien hoe Automated Conversational Assessment het leren persoonlijker, interactiever en effectiever maakt. Studenten denken hardop, verkennen hun eigen begrip, en verbeteren met vertrouwen — terwijl docenten op een innovatieve, datagedreven manier inzicht krijgen in hoe kennis werkelijk wordt begrepen.

App

Aki Härmä, Julie Bauer

October 21, 2025

Adaptive Expertise Assessment

Adaptive expertise verwijst naar het vermogen van individuen om hun kennis op innovatieve wijze te hercombineren om onbekende problemen op te lossen. Deze vaardigheid is essentieel voor interdisciplinair werken, en het effectief aanpakken van grote maatschappelijke uitdagingen. Wat Op deze pagina zijn te vinden: • Adaptive Expertise scenario’s. Deze kunnen ingezet worden om de adaptive expertise van studenten te meten. • Een link naar een voorbeeldassessment waarin de Adaptive Expertise scenario’s worden gebruikt. Binnenkort verschijnt op deze pagina een link naar een boekhoofdstuk waarin de theoretische achtergrond en toepassing van de Adaptive Expertise scenario’s worden toegelicht. Voor wie De materialen zijn bedoeld voor onderwijskundig adviseurs, beleidsmakers, curriculumontwikkelaars, docenten en onderzoekers in het hoger onderwijs, met name binnen interprofessionele en praktijkgerichte opleidingen. Waarom Het stimuleren van adaptive expertise draagt bij aan de ontwikkeling van veerkrachtige, reflectieve en lerende studenten en professionals. Door adaptive expertise te meten kunnen docenten beter inspelen op hoe studenten zich ontwikkelen als oplossers van maatschappelijke problemen buiten hun eigen kennisdomain.

Document

Yvette Baggen, Frank van Rijnsoever, Luc de Jongh

September 14, 2025

GenAI Literacy presentations

These PowerPoints are designed to provide teachers the means to improve their students' AI literacy. The presentation is divided into seven themes: 1: What is Generative AI? 2: How does Generative AI work? 3: Prompting 4: GenAI and hallucinations (in development) 5: GenAI and bias 6: GenAI and sustainability 7: Gen AI and privacy/ bias Each topic includes a section focusing on traditional knowledgetransfer and a simple, active learning method. This material is licensed under CC BY-NC-SA 4.0. Created by the Teaching and Learning Centre (TLC) of UvA Centraal in collaboration with the TLC of the Faculty of Medicine.

Presentation

Jesper Pool, Remco Jongkind, Sophie van Dijke, Job Radelaar, Frans Aris, Bjarne de Beer, Palina Vasilyeva, Ivar Kolvoort

September 2, 2025

TEDx Twente 2025 Albert Wong

Chemist Albert Wong shares how a single lab experiment—turning a blue solution yellow and back again—became the blueprint for designing molecular oscillators and, ultimately, a path toward chemical information processing. He recounts the spark (an acoustic Skunk Anansie concert at Amsterdam’s Royal Theater Carré during his early PhD), the grind of 100+ failed trials and two all-nighters to capture the first stable oscillations, and the shift to automated microfluidic chips that reveal memory and adaptation in reaction networks. Along the way, he bridges chemistry and computing—citing ideas from Turing and Leslie Valiant—to show how molecular systems can store history, respond to their environment, and inspire new, chemically driven algorithms.

Video

Hogeschool Saxion

September 1, 2025

Algorithmic assessment systems

This class pursues a twofold goal of making students both think about the use of AI in recidivism prediction/social benefits allocation and reflect on the possible use of AI for making evaluative, moral judgments. To do so, students are first presented with contextual information about recidivism prediction and social benefits allocation controversies before the class through mandatory reading. During the class, students are divided into four groups that take contrasting positions on these two issues (recidivism prediction and social benefits allocation) and are asked to suggest (counter-)arguments for the position that they have been assigned in a debate-style manner, following academic argumentative norms. Later, students use ChatGPT/GPT3 or an alternative LLM with a chat interface to prompt it about arguments and counter-arguments pertaining to their position. As a result, students compare and discuss the answers they have come up with and those offered by ChatGPT, both within the groups and with the whole class, exploring different dimensions of using AI for evaluative moral judgments

Document

Olya Kudina, Dmitry Muravyov

September 1, 2025

Economics in the Digital Age: Insights and Applications

This book serves as an essential resource for both undergraduate and graduate programs due to its comprehensive approach to digital economics: Theoretical Integration: It integrates classical economic theories with the digital economy, demonstrating how traditional principles apply to new digital realities. Practical Frameworks: It provides actionable insights for analyzing digital market trends and monetization strategies, relevant for students, managers, and business professionals alike. Case Studies and Real-World Applications offer concrete examples of digital transformations, making complex concepts more accessible and useful for research and coursework. Advanced Analytical Tools: The book helps students develop the analytical skills needed to evaluate digital business strategies, market dynamics, and the broader economic impact of digital technologies. For professionals, this book provides strategic guidance on navigating the challenges and opportunities of the digital economy. By understanding the core economic principles behind digital business models, managers can make informed decisions on everything from digital marketing to product development, all while anticipating and mitigating risks like cybersecurity threats or regulatory changes.

Open (Access) Text Book

Shilpa Samplonius-Raut

August 28, 2025

Mathematics for Quantum Physics – 2nd edition

Mathematics for Quantum Physics provides a compact introduction to the most important mathematical tools used in quantum mechanics. The text is aimed at students who already possess basic knowledge of calculus and complex numbers. It is divided into three parts: analysis, linear algebra and probability. The focus is on examples and applications, and each section comes with a collection of exercises.

Open (Access) Text Book

Peter Bruin

July 1, 2025

AI as a science - course manual

AI as a Science aims to highlight how research involving “artificial intelligence” can be considered scientific, and what that means for us as scholars engaged in this — and related — areas of study. During the course, we will explore answers to questions such as: What is AI? What role do scientists play in the development of AI? And vice versa: what role do AI researchers play in the scientific investigations of computation, artificial intelligence, and intelligence more broadly? Do such roles come with responsibilities and ethical duties? We will explore these questions dialogically (i.e., through dialogue, discussions, and presentations), as well as through lectures. Perspectives will include critical, historical, sociological, and philosophical angles. We will touch on: The history of AI, going as far back as ancient Chinese and Greek civilizations; future projections, including the possibility of another "AI winter." Ultimately, you will aim to answer for yourselves: Is AI a science? Can it be? Will it be? The course will be examined through: Group presentation – You will be split into teams to create a presentation (see Presentation). The presentation combines: Group collaboration, An individual (or more than one person’s) presentation (10 minutes max). Final essay – You may choose a topic related to the course and aligned with your background or interests (see Essay). The essay will take the form of a literature review or journal-style article, aiming to: Deepen and/or broaden your knowledge on one or more topics from the course, Allow you to zoom in or out and develop your own unique perspective. Learning Goals: AI as a Science aims to teach you — and for you to teach yourselves — how to: Define science and AI, critically and in your own words. Understand the historical context of AI: When did AI or AI-like disciplines and ideas emerge? Understand the current state of AI and explore possible futures: Is time a flat circle when it comes to recurring “AI winters”?

Document

Olivia Guest

July 1, 2025

Presentation Grey Literature

PowerPoint presentation Workshop Grey Literature

Presentation

Norma Fötsch, Rebecca Calcott